Full-Stack AI Developer | LLM, RAG, OpenAI, Python, Next.js.
I build production-ready AI applications, SaaS platforms, and intelligent automation systems that help businesses reduce manual work, improve customer experience, and turn ideas into scalable products.
I specialize in:
🤖 AI & LLM Applications
• OpenAI API integrations
• AI chatbots and AI assistants
• LLM-powered SaaS products
• Retrieval-Augmented Generation (RAG) systems
• AI agents and workflow automation
• Knowledge base search systems
âš¡ Full-Stack Product Development
• Python (FastAPI, Django)
• Next.js, React, TypeScript
• REST APIs and backend architecture
• PostgreSQL, Supabase, Firebase
• Cloud deployment and scalable applications
💼 I can help you build:
✓ AI MVPs from idea to launch
✓ Custom ChatGPT-like applications
✓ Document Q&A / RAG systems
✓ AI automation tools
✓ Internal business AI assistants
✓ SaaS platforms with AI features
Why clients choose me:
✅ Strong focus on business outcomes, not just code
✅ Clean, scalable, maintainable architecture
✅ Experience connecting AI models with real-world applications
✅ Fast communication and reliable delivery
If you are looking for a developer who can take an AI product from concept to a working application, I’d love to help.
Let’s build something impactful.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
- MetaTrader 5 integration with mock and live market data support
- Automated trading bot execution pipeline
- Pluggable strategy architecture:
- Signal generation
- Risk evaluation
- Trade execution
- Real-time trade and bot event tracking
- PostgreSQL-based persistence layer
- REST and WebSocket APIs for live communication
- Operations dashboard for monitoring and manual controls
- Event-driven trading workflow
- Modular strategy integration
- Supports simulation, demo, and live-ready execution modes
- Tracks bot states, signals, executions, and outcomes
- Stop-loss enforcement
- Drawdown monitoring and automatic trading halt
- Risk-based execution validation
- Configurable trading limits
- Historical strategy evaluation
- Market replay capabilities
- Performance analysis tools
- Trading metrics visualization
- Live bot status
- Trade history
- Execution events
- Performance metrics
- Backtest results
- Manual operational controls
- Python
- FastAPI
- PostgreSQL
- MetaTrader 5 integration
- Next.js 15
- React 19
- TypeScript
- Recharts
- Docker Compose
- pytest
- GitHub Actions CI
A full-stack automated Forex trading platform built around MetaTrader 5, featuring algorithmic trading workflows, risk management controls, execution pipelines, and a real-time operations dashboard.
Overview
Designed for automated trading operations, this platform provides a complete trading lifecycle from market data ingestion and strategy signals to risk validation, trade execution, and performance monitoring.
The system supports simulation, demo trading, and live-readiness workflows while maintaining a strong focus on reliability, observability, and secure operations.
Core Capabilities
Features
Automated Trading Engine
Risk Management System
Built-in controls to protect trading operations:
Backtesting & Replay
Operations Dashboard
Real-time monitoring interface providing:
Technical Stack
Backend
Frontend
Infrastructure & DevOps
Impact
This platform automates the operational side of Forex trading by combining algorithmic execution, risk management, and real-time monitoring.
Strategy performance and live market validation remain the key factors in determining trading outcomes.
- Built a production-style odds aggregation platform integrating major bookmakers including Fonbet, Betcity, Liga Stavok, 1xBet, and Bet365 through custom HTTP, WebSocket, and browser automation adapters.
- Developed bookmaker polling systems to collect live and prematch betting data, process snapshots and delta updates, and persist normalized odds data into PostgreSQL.
- Designed a shared adapter architecture with unified market, event, and bookmaker status handling across multiple providers, supporting live, pre-match, blocked, and unblocked states.
- Implemented event lifecycle management including match completion detection, soft-finish handling, suspended odds retention, and automated cleanup of expired betting lines.
- Improved polling reliability through SSL/transient failure recovery, retry mechanisms, health monitoring, snapshot resets, and fixed-interval polling cycles.
- Built a Next.js review dashboard for analyzing live matches, prematch events, scores, and market odds across multiple bookmakers.
- Designed operational tooling including environment-based configuration, retention policies, pruning workflows, monitoring, and automated test coverage.
- Defined phase-one market support and acceptance criteria covering core betting markets such as 1X2, - Double Chance, Handicap, Totals, and Both Teams To Score (BTTS).
- Clients — create projects, manage members, assign tasks, and monitor progress
- Managers — oversee users, roles, projects, and system-wide activity
- Developers — manage assigned tasks, submit progress updates, and respond to feedback
- Testers — validate work, provide feedback, and track testing activities
- JWT-based role authentication and authorization
- Client registration and email-based invitations for Developers and Testers
- Project creation and member management
- Structured task workflow:
- Todo
- In Progress
- Report
- Completed
- Drag-and-drop Kanban task management
- Task progress dialogs and status tracking
- Feedback management with attachments
- Daily grouped task activity logs
- Email notifications and background job processing
- Manager administration dashboard
- Audit logging and soft-delete support
Smart Task Drafting
- Generate clear task titles
- Create detailed descriptions
- Generate acceptance criteria from short prompts
Priority & Effort Recommendations
- Suggest task priority
- Estimate effort based on task content and project history
Status & Assignment Assistance
- Recommend next workflow status
- Suggest suitable assignees based on workload, role, and context
Daily Standup Summaries
- Automatically summarize:
- Todo tasks
- In Progress work
- Report updates
- Completed tasks
- Automatically summarize:
Feedback Rewrite
- Convert rough notes into clear, actionable feedback for Developers and Testers
- Next.js (App Router)
- TypeScript
- Tailwind CSS
- React Query
- dnd-kit
- NestJS
- Prisma ORM
- PostgreSQL
- LLM-backed assist endpoints
- Structured prompt-to-output generation
- AI-generated task, feedback, and summary workflows
A full-stack AI-powered project and task management platform designed to streamline collaboration between Clients, Managers, Developers, and Testers. The platform provides role-based workflows, project tracking, team coordination, and intelligent AI assistance throughout the software delivery lifecycle.
Overview
Built as an end-to-end monorepo application, this platform enables clients to create and manage projects, invite development teams, track daily progress, review feedback, and monitor delivery through a structured workflow.
The system supports multiple user roles with tailored permissions:
Core Features
AI-Powered Capabilities
Integrated LLM-backed assistant features to improve productivity and communication:
Technical Stack
Frontend
Backend
AI Layer
Impact
This platform combines project management workflows with AI automation to reduce manual planning, improve communication quality, and help teams deliver software projects more efficiently
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